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        <title>Improving the Naturalness and Expressivity of Language Generation for Spanish</title>
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    <abstract>We present a flexible Natural Language Generation approach for Spanish, focused on the surface realisation stage, which integrates an inflection module in order to improve the naturalness and expressivity of the generated language. This inflection module inflects the verbs using an ensemble of trainable algorithms whereas the other types of words (e.g. nouns, determiners, etc) are inflected using hand-crafted rules. We show that our approach achieves 2% higher accuracy than two state-of-art inflection generation approaches. Furthermore, our proposed approach also predicts an extra feature: the inflection of the imperative mood, which was not taken into account by previous work. We also present a user evaluation, where we demonstrate that the proposed method significantly improves the perceived naturalness of the generated language.</abstract>
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%0 Conference Proceedings
%T Improving the Naturalness and Expressivity of Language Generation for Spanish
%A Barros, Cristina
%A Gkatzia, Dimitra
%A Lloret, Elena
%Y Alonso, Jose M.
%Y Bugarí n, Alberto
%Y Reiter, Ehud
%S Proceedings of the 10th International Conference on Natural Language Generation
%D 2017
%8 September
%I Association for Computational Linguistics
%C Santiago de Compostela, Spain
%F barros-etal-2017-improving
%X We present a flexible Natural Language Generation approach for Spanish, focused on the surface realisation stage, which integrates an inflection module in order to improve the naturalness and expressivity of the generated language. This inflection module inflects the verbs using an ensemble of trainable algorithms whereas the other types of words (e.g. nouns, determiners, etc) are inflected using hand-crafted rules. We show that our approach achieves 2% higher accuracy than two state-of-art inflection generation approaches. Furthermore, our proposed approach also predicts an extra feature: the inflection of the imperative mood, which was not taken into account by previous work. We also present a user evaluation, where we demonstrate that the proposed method significantly improves the perceived naturalness of the generated language.
%R 10.18653/v1/W17-3505
%U https://aclanthology.org/W17-3505/
%U https://doi.org/10.18653/v1/W17-3505
%P 41-50

Markdown (Informal)

[Improving the Naturalness and Expressivity of Language Generation for Spanish](https://aclanthology.org/W17-3505/) (Barros et al., INLG 2017)

• Improving the Naturalness and Expressivity of Language Generation for Spanish (Barros et al., INLG 2017)

ACL

• Cristina Barros, Dimitra Gkatzia, and Elena Lloret. 2017. Improving the Naturalness and Expressivity of Language Generation for Spanish. In Proceedings of the 10th International Conference on Natural Language Generation, pages 41–50, Santiago de Compostela, Spain. Association for Computational Linguistics.